Publications by authors named "Daniel MacArthur"

encodes a human long noncoding RNA (lncRNA) adjacent to , a coding gene in which de novo loss-of-function variants cause developmental and epileptic encephalopathy. Here, we report our findings in three unrelated children with a syndromic, early-onset neurodevelopmental disorder, each of whom had a de novo deletion in the locus. The children had severe encephalopathy, shared facial dysmorphisms, cortical atrophy, and cerebral hypomyelination - a phenotype that is distinct from the phenotypes of patients with haploinsufficiency.

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Unsolved Mendelian cases often lack obvious pathogenic coding variants, suggesting potential non-coding etiologies. Here, we present a single cell multi-omic framework integrating embryonic mouse chromatin accessibility, histone modification, and gene expression assays to discover cranial motor neuron (cMN) cis-regulatory elements and subsequently nominate candidate non-coding variants in the congenital cranial dysinnervation disorders (CCDDs), a set of Mendelian disorders altering cMN development. We generate single cell epigenomic profiles for ~86,000 cMNs and related cell types, identifying ~250,000 accessible regulatory elements with cognate gene predictions for ~145,000 putative enhancers.

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Penetrance is the probability that an individual with a pathogenic genetic variant develops a specific disease. Knowing the penetrance of variants for monogenic disorders is important for counseling of individuals. Until recently, estimates of penetrance have largely relied on affected individuals and their at-risk family members being clinically referred for genetic testing, a 'phenotype-first' approach.

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Article Synopsis
  • This study aimed to identify the genetic causes and associations between genotype and phenotype in patients with unsolved ocular congenital cranial dysinnervation disorders (oCCDDs).
  • Researchers analyzed data from 467 individuals with oCCDDs using exome or genome sequencing, revealing pathogenic variants in 43 probands and variants of uncertain significance in 70 others.
  • The findings highlight the genetic diversity of oCCDDs and suggest that they may overlap with other genetic conditions, paving the way for further research on potential genetic links.
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  • * The study identifies RNU4-2, a non-coding RNA gene, as a significant contributor to syndromic NDD, revealing a specific 18-base pair region with low variation that includes variants found in 115 individuals with NDD.
  • * RNU4-2 is highly expressed in the developing brain, and its variants disrupt splicing processes, indicating that non-coding genes play a crucial role in rare disorders, potentially aiding in the diagnosis of thousands with NDD worldwide.
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Incomplete penetrance, or absence of disease phenotype in an individual with a disease-associated variant, is a major challenge in variant interpretation. Studying individuals with apparent incomplete penetrance can shed light on underlying drivers of altered phenotype penetrance. Here, we investigate clinically relevant variants from ClinVar in 807,162 individuals from the Genome Aggregation Database (gnomAD), demonstrating improved representation in gnomAD version 4.

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  • Researchers sequenced the genomes of 822 families with suspected rare monogenic diseases that were previously undiagnosed through standard genetic tests, including exome sequencing.
  • They found that genome sequencing provided a molecular diagnosis for 29.3% of the initial families, with 8.2% requiring genome sequencing to identify variants that exome sequencing missed.
  • The study showed that both research and clinical approaches could benefit from genome sequencing, demonstrating its importance in uncovering previously undetected genetic variations.
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Understanding the genetic basis of gene expression can help us understand the molecular underpinnings of human traits and disease. Expression quantitative trait locus (eQTL) mapping can help in studying this relationship but have been shown to be very cell-type specific, motivating the use of single-cell RNA sequencing and single-cell eQTLs to obtain a more granular view of genetic regulation. Current methods for single-cell eQTL mapping either rely on the "pseudobulk" approach and traditional pipelines for bulk transcriptomics or do not scale well to large datasets.

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Human pluripotent stem (hPS) cells can, in theory, be differentiated into any cell type, making them a powerful in vitro model for human biology. Recent technological advances have facilitated large-scale hPS cell studies that allow investigation of the genetic regulation of molecular phenotypes and their contribution to high-order phenotypes such as human disease. Integrating hPS cells with single-cell sequencing makes identifying context-dependent genetic effects during cell development or upon experimental manipulation possible.

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Background: Untranslated regions (UTRs) are important mediators of post-transcriptional regulation. The length of UTRs and the composition of regulatory elements within them are known to vary substantially across genes, but little is known about the reasons for this variation in humans. Here, we set out to determine whether this variation, specifically in 5'UTRs, correlates with gene dosage sensitivity.

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Missense variants can have a range of functional impacts depending on factors such as the specific amino acid substitution and location within the gene. To interpret their deleteriousness, studies have sought to identify regions within genes that are specifically intolerant of missense variation . Here, we leverage the patterns of rare missense variation in 125,748 individuals in the Genome Aggregation Database (gnomAD) against a null mutational model to identify transcripts that display regional differences in missense constraint.

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Around 60% of individuals with neurodevelopmental disorders (NDD) remain undiagnosed after comprehensive genetic testing, primarily of protein-coding genes. Increasingly, large genome-sequenced cohorts are improving our ability to discover new diagnoses in the non-coding genome. Here, we identify the non-coding RNA as a novel syndromic NDD gene.

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Article Synopsis
  • Collagen VI-related dystrophies (COL6-RDs) include a range of conditions such as Ullrich congenital muscular dystrophy (UCMD), which features severe muscle weakness and respiratory issues, and Bethlem muscular dystrophy, which has milder and later-presenting symptoms.
  • Some patients with symptoms typical of COL6-RDs were previously undiagnosed until a deep intronic variant in COL6A1 was identified, leading to a severe form of UCMD in a cohort of 44 patients, except for one with a milder phenotype.
  • The study suggests that a new pseudoexon skipping therapy could effectively reduce the severity of UCMD symptoms by targeting the abnormal transcripts
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Purpose: To identify genetic etiologies and genotype/phenotype associations for unsolved ocular congenital cranial dysinnervation disorders (oCCDDs).

Methods: We coupled phenotyping with exome or genome sequencing of 467 pedigrees with genetically unsolved oCCDDs, integrating analyses of pedigrees, human and animal model phenotypes, and variants to identify rare candidate single nucleotide variants, insertion/deletions, and structural variants disrupting protein-coding regions. Prioritized variants were classified for pathogenicity and evaluated for genotype/phenotype correlations.

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Copy number variants (CNVs) are significant contributors to the pathogenicity of rare genetic diseases and, with new innovative methods, can now reliably be identified from exome sequencing. Challenges still remain in accurate classification of CNV pathogenicity. CNV calling using GATK-gCNV was performed on exomes from a cohort of 6,633 families (15,759 individuals) with heterogeneous phenotypes and variable prior genetic testing collected at the Broad Institute Center for Mendelian Genomics of the Genomics Research to Elucidate the Genetics of Rare Diseases consortium and analyzed using the seqr platform.

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Objective: Most families with heritable neuromuscular disorders do not receive a molecular diagnosis. Here we evaluate diagnostic utility of exome, genome, RNA sequencing, and protein studies and provide evidence-based recommendations for their integration into practice.

Methods: In total, 247 families with suspected monogenic neuromuscular disorders who remained without a genetic diagnosis after standard diagnostic investigations underwent research-led massively parallel sequencing: neuromuscular disorder gene panel, exome, genome, and/or RNA sequencing to identify causal variants.

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Article Synopsis
  • Long non-coding RNAs (lncRNAs) make up a significant part of the human genome, but findings show that a specific lncRNA, located near a coding gene, is linked to severe developmental disorders and epilepsy through harmful mutations.
  • Researchers found three individuals with a rare deletion affecting this lncRNA, displaying similar symptoms such as developmental delays and distinct facial features, differing from typical haploinsufficiency effects.
  • The study revealed that this deletion leads to altered mRNA and protein levels in patients, demonstrating that structural variants can cause neurodevelopmental disorders and emphasizing the importance of further evaluating lncRNAs in relation to genetic diseases.
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In digenic inheritance, pathogenic variants in two genes must be inherited together to cause disease. Only very few examples of digenic inheritance have been described in the neuromuscular disease field. Here we show that predicted deleterious variants in SRPK3, encoding the X-linked serine/argenine protein kinase 3, lead to a progressive early onset skeletal muscle myopathy only when in combination with heterozygous variants in the TTN gene.

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Short tandem repeats (STRs) are highly polymorphic sequences throughout the human genome that are composed of repeated copies of a 1-6-bp motif. Over 1 million variable STR loci are known, some of which regulate gene expression and influence complex traits, such as height. Moreover, variants in at least 60 STR loci cause genetic disorders, including Huntington disease and fragile X syndrome.

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Background: Causal variants underlying rare disorders may remain elusive even after expansive gene panels or exome sequencing (ES). Clinicians and researchers may then turn to genome sequencing (GS), though the added value of this technique and its optimal use remain poorly defined. We therefore investigated the advantages of GS within a phenotypically diverse cohort.

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Unsolved Mendelian cases often lack obvious pathogenic coding variants, suggesting potential non-coding etiologies. Here, we present a single cell multi-omic framework integrating embryonic mouse chromatin accessibility, histone modification, and gene expression assays to discover cranial motor neuron (cMN) cis-regulatory elements and subsequently nominate candidate non-coding variants in the congenital cranial dysinnervation disorders (CCDDs), a set of Mendelian disorders altering cMN development. We generated single cell epigenomic profiles for ~86,000 cMNs and related cell types, identifying ~250,000 accessible regulatory elements with cognate gene predictions for ~145,000 putative enhancers.

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Article Synopsis
  • - The study focuses on understanding how purifying natural selection affects variations in non-coding regions of the human genome, alongside existing knowledge of protein-coding genes responsible for human disorders.
  • - Researchers created a comprehensive constraint map, named Gnocchi, using data from 76,156 human genomes to analyze genomic variations, with a refined model that factors in local sequences and features to identify areas with less variation.
  • - Findings indicate that while protein-coding regions show stronger constraint, certain non-coding regions related to regulatory elements are also important, suggesting that analyzing non-coding DNA can help uncover previously unidentified constrained genes linked to diseases.
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Recessive diseases arise when both copies of a gene are impacted by a damaging genetic variant. When a patient carries two potentially causal variants in a gene, accurate diagnosis requires determining that these variants occur on different copies of the chromosome (that is, are in trans) rather than on the same copy (that is, in cis). However, current approaches for determining phase, beyond parental testing, are limited in clinical settings.

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